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[Raw User/Video Data] ---> [Data Pipeline (Kafka/Spark)] ---> [Feature Store] | +-----------------------------------------------------------------+ | v [Retrieval Stage] (Filters millions to ~100s via Approximate Nearest Neighbors/Faiss) | v [Ranking Stage] (Scores the 100s using a Deep Neural Network based on user features) | v [Re-ranking/Diversity] (Filters explicit duplicates, applies business rules/diversity) | v [Final Recommendation List to User] The Two-Stage Design

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Data considerations